DOI: 10.7763/IJCTE.2011.V3.319
Implementation of Radial Basis Function for fMRI Registration
Abstract—This paper presents functional magnetic resonance imaging (fMRI) slice registration. Radial basis function (RBF) network is used for registering auditory cortex slices. Training the network is done with co-ordinates of the selective points (feature points) from two images at a time (source and target images). The input layer is given with coordinates of the selective points of the source image and in the output layer, the labeling is given as the coordinates of the selective points of the target image. Accuracy of registration depends on the amount of distortion present.
Index Terms—Radial basis function, functional magnetic resonance imaging, Heschl's gyrus, auditory cortex
R. Rajeswari, Research Scholar, Department of Computer Science, Mother Teresa Women's University, Kodaikanal, India (email: rajeswaripuru@gmail.com)
Dr. A. Anthony Irudhayaraj, Dean, Information Technology, Arupadai Veedu Institute of Technology, Paiyanoor, India (Email: anto_irud@hotmail.com).
Cite: R. Rajeswari and A. Anthony Irudhayaraj, "Implementation of Radial Basis Function for fMRI Registration," International Journal of Computer Theory and Engineering vol. 3, no. 2, pp. 287-291, 2011.